Evidence map›Paper›PMID 36715615›Full record

ArticleRheumatology (Oxford, England)2023

The incidence of Kawasaki disease using hospital admissions data for England 2006-2021.

Myron Odingo, Megan Rutter, Jonathan Bowley, Emily J Peach, Peter C Lanyon, Matthew J Grainge, Peter Stillwell, Sean McPhail, Mary Bythell, Jeanette Aston and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Rheumatology (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Myron OdingoLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-2641-2973
Megan RutterLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Jonathan BowleyLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Emily J PeachLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Peter C LanyonLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Matthew J GraingeLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0001-7181-4042
Peter StillwellNational Congenital Anomaly and Rare Disease Registration Service, National Disease Registration Service, NHS Digital, Leeds, UK.
Sean McPhailNational Congenital Anomaly and Rare Disease Registration Service, National Disease Registration Service, NHS Digital, Leeds, UK.
Mary BythellNational Congenital Anomaly and Rare Disease Registration Service, National Disease Registration Service, NHS Digital, Leeds, UK.
Jeanette AstonNational Congenital Anomaly and Rare Disease Registration Service, National Disease Registration Service, NHS Digital, Leeds, UK.
Sarah StevensNational Congenital Anomaly and Rare Disease Registration Service, National Disease Registration Service, NHS Digital, Leeds, UK.
Rachael McCormackSocieti Foundation-The UK Foundation for Kawasaki Disease, Newark, UK.
Paul BroganInfection, Inflammation and Rheumatology Section, University College London Great Ormond Street Institute of Child Health, London, UK.
Fiona A PearceLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0003-2884-1998

Funding

Department of Health NIHR300863Versus Arthritis 22727
6 · The paper itself

Abstract

objectiveTo describe the incidence of Kawasaki Disease (kDa) between 2006 and 2021 in England.

methodsWe identified all cases in hospital episode statistics with an ICD-10 diagnostic code M303 (for kDa) between 1 April 2006 and 31 March 2021. We validated 83 diagnoses using hospital medical records and found >97% accuracy. We calculated incidence rate ratios (IRRs) using Poisson regression and assessed the influence of age, sex, ethnicity and index of multiple deprivation (IMD). We used Office for National Statistics population estimates for England as the denominator.

resultsWe identified a total of 5908 cases of kDa in all children under the age of 16 (mean age 3.8, s.d.=3.2, 95% CI: 3.7, 3.9). Incidence in children aged <5 years was 8.9 (95% CI: 8.6, 9.2)/100 000 person-years; in children aged 5-9, 2.4 (95% CI: 2.3, 2.6)/100 000 person-years; and in children aged 10-15, 0.6 (95% CI: 0.6, 0.7). Male : female ratio was 1.5 : 1. Incidence was higher among non-White than White ethnicities [adjusted IRR 2.1 (2.0-2.2) for Asian, 3.0 (2.8-3.3) for Black and 4.5 (4.2-4.8) for other ethnicities]. The incidence increased with socioeconomic deprivation; the adjusted IRR of the least deprived IMD quintile compared with the most deprived quintile was 0.81 (0.77-0.84).

conclusionsIncidence rates of kDa derived from hospital admission data in England were higher than in studies relying on clinician reporting. We confirm previous findings on the influence of sex and ethnicity on kDa incidence and observe that there was a higher incidence of kDa within more deprived socioeconomic groups.

Indexed as

Mucocutaneous Lymph Node SyndromeChildChild, PreschoolEthnicityFemaleHospitalizationHospitalsHumansIncidenceMalecardiovascularepidemiologyKawasaki diseasepaediatricvasculitis

Identifiers

PMID36715615
PMCPMC10473221

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.